Therefore, researchers turn to extracting abundant static features to implement efficient malware detection. In this paper, we explore the direction of capturing malware semantic information by using graph lear
Seungwon ShinSpringer International PublishingC. Bae, J. Jung, J. Nam, and S. Shin, "A collaborative approach on behavior-based Android malware detection," presented at the 11th Int. Conf. Secur. Privacy Commun. Netw., Dallas, TX, USA, Oct. 26-29, 2015....
"An automated malware detection system for android using behavior-based analysis AMDA." International Journal of Cyber-Security and Digital Forensics (IJCSDF) 2.2 (2013): 1-11.Abela, Kevin Joshua L. et al. (2013). An Automated Malware Detection System for Android using Behavior-based Analysis ...
(CNN classifier as a classification engine) to classify the maliciousness of Java bytecode programs as grayscale images. Based on our experimental results, our generated grayscale images have more than 10% improvement on the malware detection accuracy over the state-of-the-art malware-to-image ...
Anomaly detection can be powerful in spotting cyber incidents, but experts say CISOs should balance traditional signature-based detection with more bespoke methods that can identify malicious activity based on outlier signals. Credit: Gorodenkoff / Shutterstock Anomaly detection is an analyti...
The comparison of applying the resultant signatures and those provided by the approach presented in [13] indicates an increase of detection rate 23.13%. Contributions. The contributions of this paper are manifold: (a) A new classification of trigger-based malware behaviors, considering the impacts ...
1. Ransom Detection 0x1:特征工程 1. 在运行生命周期期间向磁盘写入大量相同后缀的文件 1)释放大量相同后缀文件特征 勒索软件的核心目的就是加密受害者磁盘上的文件,并且为了明确标识被加密的文件,勒索软件作者会使用一个固定的文件后缀对原始文件进行重命名。这个行为特征我们将其用抽象化的向量化特征表征出来。
【论文笔记】Malware Detection with Deep Neural Network Using Process Behavior 论文基本信息 会议: IEEE(2016 IEEE 40th Annual Computer Software and Applications Confe
Computer engineering Behavior Based Approach for Intrusion Detection Systems STATE UNIVERSITY OF NEW YORK AT BINGHAMTON Victor Skormin DolgikhAndreyThis dissertation presents research in the cyber-experimentation and behavior based intrusion detection. The first part of the dissertation is devoted to the ...
By combining with network traffic analysis technology, this paper propose a custom user abnormal behavior detection model based on deep neural networks which implements fine銈瀝ained analysis of network traffic and customizes user behavior management settings to enable user abnormal detection to meet ...